Financial Performance Of Microfinance Institutions Of India

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Delhi Business Review X Vol. 11, No. 2 (July - December 2010)FINANCIAL PERFORMANCE OF MICROFINANCEINSTITUTIONS OF INDIASECTIONAL STUDYA CROSSCROSS-SECTIONALPankaj K. Agarwal*S.K. Sinha**FOR a country like India, poverty remains to be one of the biggest policy concerns. Amongstvarious measures to eradicate it, Microfinance, of late, has provided a ray of hope. The TaskForce on Supportive Policy and Regulatory Framework for Microfinance constituted by NABARDdefined microfinance as “the provision of thrift, saving, credit and financial services and products ofvery small amount to the poor in rural, semi-urban and urban areas for enabling them to raise theirincome levels and improve their standard of living” (Sen, 2008).In numerous studies done across the world, it is generally believed that various microfinance initiatives have been able to make a difference in the target population’s lives. However, increasing doubtshave been raised over the financial sustainability of microfinance institutions. MFIs need to be economically viable and sustainable in the long run but economic implications of long termsustainability are not being considered (Srinivasan et al., 2006).At least in India, there does not seem to be any working model of analyzing the financial performanceand thereby sustainability of microfinance institutions. This problem is compounded by the absenceof a dedicated legislation on working and management of microfinance institutions. The lack of aregulatory mechanism for financial disclosures by microfinance institutions also abets the problem.The present study is an attempt to analyze the financial performance of various microfinance institutions operating in India. It assumes significance because it is imperative that these institutions be runefficiently given the fact that they are users of marginal and scarce capital and the intended beneficiaries are the marginalized sections of society. MFIs must be able to sustain themselves financially inorder to continue pursuing their lofty objectives, through good financial performance.Key Words: Microfinance, Financial Sustainability.IntroductionOf late many government, businessmen and academicians alike have shown great interest in microfinance for its potential role in poverty alleviation activities. Microfinance Institutions have been expected to reduce poverty, which is considered as the most important development objective (WorldBank, 2000). Robinson defines Microfinance as small-scale financial services for both credits and deposits – that are provided to people who farm or fish or herd; operate small or micro enterprises wheregoods are produced, recycled, repaired or traded; provide services; work for wages or commissions; gainincome from renting out small amounts of land, vehicles, draft animals, or machinery and tools; and toother individuals and local groups in developing countries, in both rural and urban areas (Robinson,2001). Subsidized credit has long been believed to be the panacea for the eradication of poverty for decades***Research Fellow, XLRI, Jamshedpur, India.Head, Department of Financial Studies, VBS Purvanchal University, Jaunpur, India.37

Pankaj K. Agarwal and S.K. Sinhanow. But perhaps the only thing subsidized credit could create was Non Performing Assets (NPAs).The realization that the core issue for the poor was access to credit rather than the cost of credit camevery late. Microfinance is often credited with putting an end to the interest rate debate for the poor.A host of players have entered microfinance space, each having a reason of its own. It is believed that,Microfinance, unlike other developmental efforts, gives quick and tangible results (Srinivasan et al.,2006). Many NGOs that were early entrants gradually metamorphosed into full fledged lenders, developmental professionals left their cushy careers to set up microfinance firms. Even many banks haveexperimented with working exclusively with self help groups and therefore have ‘microfinance branches’.The players range from not-for profits organizations trying to achieve developmental objective throughmicrofinance to commercial banks that view microfinance as ‘good, sound banking’, a good source ofdeposits, and low-risk mass lending. In fact the success of self help groups in microfinance led many touse them to achieve many other objectives as well. Many governmental schemes are being routedthrough microfinance, including a very large project funded by the World Bank and being implementedin a southern state of India. Similarly organizations like Hindustan Lever has looked at the potentialof these groups as a channel for retailing and has launched a program called ‘Project Shakti’ to tap thesmaller villages through the micro-credit. They are also being harnessed as an alternative distributionchannel. This amounts almost to free riding since these channels have been developed by the MFIsafter a lot of persistent hard work and investment. The companies that initiated this are reputed oneslike HLL, EID Parry and Philips etc. (Srinivasan et al., 2006).The persons engaged in championing microfinance are gaining prominence and it is said that some ofthe leaders, including many women, have been playing a more active role in other social spheres, to theextent of contesting elections for the panchayat and so on.Conceptual FrameworkAs microfinance firms are viewed predominantly as instruments of social change, their performancehas been often measured by non-financial parameters. The concept of social performance has seemed toovershadow the state of financial health of these enterprises. However, the accepted criteria in a number of studies to study the performance of any MFI have been the twain of Financial Performance andOutreach (Chaves and Gonzales-Vega 1996, Ledgerwood 1999, Yaron, 1992, Yaron 1994, Yaron et al.,1998, as cited in Arsyad, 2005). However, there exist various social performance assessment tools andinstitutionalized rating processes but assessment of financial performance has yet to gain ground.Some of the more popular tools include MFC Social Audit, ACCION SOCIAL, USAID SPA Audit, MCRIL, Micro-finanza Rating, Micro Rate (SPA), CGAP-Grameen-Ford Progress out of Poverty Index(PPI) etc. (Sen, 2008). These tools often focus on outreach indicators. Outreach indicators are considered as proxies for impact of MFI on development (Yaron el al., 1997).The financial performance assessment is devoid of such a multitude of options and methodologiesdespite critical importance of financial sustainability. Though an ambition for sustainable institutionshas been often articulated, there was also an opinion that most microfinance institutions working inthis field have been unsustainable (Copisarow, 2000 as cited in Dayson et al., 2006). Research studieshave shown that this is predominantly connected to the perception of micro borrowers’ risk and creditworthiness, and the diseconomies of scale in making small loans (Quach, 2005, As cited in Dayson etal., 2006).Microfinance has been attractive to lending agencies because of demonstrated sustainabilityand low cost of operations. In India, the engagement of NABARD and SIDBI shows that they see longterm prospect for this sector (Srinivasan et al., 2006).However, the methodologies to study financial sustainability are fewer. Review of studies reveal thatamongst those available, most of the tools available cover social as well as financial performance.Principal among them are CAMEL model by ACCION, PEARLS model by WOCCU, GIRAFE Ratingby PlaNet and MicroRate (CGAP, 2001 as cited in Arsyad, 2005). Amongst these, except the PEARLSmethodology by World Council of Credit Unions (WOCCU), all others are hybrid models using bothqualitative and quantitative data (Arsyad, 2005). These methodologies are proprietary and not available for use in public domain.38

Delhi Business Review X Vol. 11, No. 2 (July - December 2010)It is noted with surprise that in India, a review of the studies done on microfinance sector has revealedthat there is hardly any study focusing on the financial health of MFIs.It seems this is due to the branding and common perception of MFIs as not for profit organizations.However the long term viability of any business model depends as much on the financial viability as onits ability to deliver its avowed objectives.It can be seen that without sound financial performance the sustainability of these microfinance institutions is not possible. Increasingly questions are being raised over the cost of funds for these enterprisesand their ability to earn margins sufficient to cover their operational costs and still leave some profit(Arsyad, 2005). It has been pointed out repeatedly that MFIs need to be economically viable and sustainable in the long run (Srinivasan et al., 2006). In fact studies have found strong linkage between thefinancial sustainability of microfinance institutions and achievement of their social objectives. Lowincome customers are more likely to borrow from institutions they see as financially viable (Zeller etal., 2003).The extant business model of most of the MFIs involves huge operational costs since a lot of contact isrequired with the intended beneficiary. Also as for as the cost of funds are concerned, as the scale ofoperations goes up, MFIs need funds beyond the grant/soft loans etc. The commercial funding requiresthem to have risk capital with market interest rates.In this backdrop the sustainability of MFIs needs to be looked at very carefully even from a socialperformance standpoint. The results achieved in poverty alleviation by MFIs can not be an event andgiven the endemic nature of poverty, requires a continuous and long term commitment from theseenterprises.Morduch (1999) as cited by Crabb (2008), describes the need for more empirical work on the sustainabilityof MFIs. He points out: “Empirical understandings of microfinance will also be aided by studies thatquantify the roles of the various mechanisms in driving microfinance performance .” The presentstudy attempts to analyze and compare the financial performance of the MFIs primarily from asustainability standpoint.Data and MethodologyMeyer (2002) indicated, “Measuring financial sustainability requires that MFIs maintain good financial accounts and follow recognized accounting practices that provide full transparency for income,expenses, loan recovery, and potential losses.” One of the biggest problems in conducting this kind ofstudy with MFIs in India is that for want of mandatory disclosure requirements and lack of dedicatedlegislation governing MFIs; it is very difficult to get reliable and actionable data on the financials. Onthe lines of MIX and rider attached by foreign donors on the MFIs to seek voluntary disclosure before theycan be considered for grants, some of the Indian MFIs have started to report their financials to MIX(www.mixmarket.org). By far Mix Market is most reliable database currently available on MFIs. Mixmarket has a system of classifying the reporting firms into star categories. This ranges from one to fivestars. This is based on their level of disclosure, vintage, quality of disclosure, financial parameters etc.Out of over a hundred MFIs currently reporting to Mix Market, we have chosen only five star ratedMFIs. They are 22 in number.Thereafter their financial performance has been compared on 22 different ratios. These ratios havebeen chosen again from the reporting format of Mix Market. The reporting format broadly analyzes thecompanies on six parameters of financial performance:1. Financial Structure2. Revenue3. Expenses4. Efficiency39

Pankaj K. Agarwal and S.K. Sinha5. Productivity6. RiskThese parameters are most comprehensive and globally accepted indicators of financial health of a MFIas Mix market uses it across the world for classification. Apart from the above five parameters anotherparameter named “Overall Performance” has been used to capture the holistic picture. It covers threeratios viz. Return on Assets, Return on Equity and Operational Self-Sufficiency.Since the sample is only 22 MFIs and data has been utilized for 2008 only it is too small to lend itself torigorous multivariate analysis. Therefore the methodology used is difference of means test for thepurpose of comparing the performance of these star performers.Data AnalysisThe application of difference of means test has been done at á 0.05. For various categories the analysisis as follows:1. Financing StructureCapital/Asset RatioMeanStandard ErrorMediumStandard DeviationSample tP e p value of 0.039 is significant and therefore it can be concluded that most of the MFIs are followingdisparate risk management practices. They are maintaining divergent capital to assets ratio.Debt/Equity RatioMeanStandard ErrorMedianStandard DeviationSample tp ever financing mix has not varied widely across firms and p is not significant. This has mainly40

Delhi Business Review X Vol. 11, No. 2 (July - December 2010)emanated from increasing reliance of firms on commercial funds being made available by banksand other agencies.Deposits to LoansMean0.009305Standard Error0.00684Median0Mode0Standard Deviation0.032085Sample nge0.1383Minimum0Maximum0.1383Sum0.2047Countp value220.014226Here again p is significant. Most of the firms are not yet dependent on deposits as a source of fundsin a big way.Deposits to Total AssetsMean0.007705Standard Error0.005594Median0Mode0Standard Deviation0.026238Sample ge0.1113Minimum0Maximum0.1113Sum0.1695Countp value220.011633This result is also in line with the previous analysis. However when we look at gross loan portfolioto total assets we find that most of the firms have different ratios and p value is significant. The lowavailability and nascence of the industry seem to be major reasons.So we may conclude that most of the firms have similar gearing but different overall financial41

Pankaj K. Agarwal and S.K. Sinhastructure as measured by other ratios. This has born purely out of practice rather than anyprudential reasons.Gross Loan Portfolio/Total AssetsMean0.832981818Standard Error0.019930408Median0.83935Standard Deviation0.093481899Sample 256Count22p value0.0414475522. Overall PerformanceReturn on Equity (%)Return on Assets(%)Operational tandard 13651.12145Standard Deviation0.5503020.0746632530.513590131Sample 12380.30863.3565Sum8.23230.669527.8026Countp 20.227713106We may observe that firm’s ability to generate return on capital employed is quite disparate and pvalue is significant. However in line with previous conclusion that firms have similar debt equityratios in the financing mix, return on equity for these firms is identical. This is also reflected inOperational self sufficiency where p value is not significant.42

Delhi Business Review X Vol. 11, No. 2 (July - December 2010)3. RevenueFinancial Revenue Ratio (%)Profit Margin (%)Mean0.2100045450.132827273Standard dard Deviation0.0709103830.243525984Sample 2012.9222Count22p value220.0314399020.107973372We saw no significant ‘p’ value in case of return on equity and the same conclusion is visible herealso in profit margin. However in terms of revenue there is significant difference between the firmsthat are star performers and it may be deduced that they are following unique business models inIndia.4. ExpensesTotal Expense Ratio (%)Financial ExpenseRatio (%)Loan Loss ProvisionExpense Ratio (%)Mean0.1771140.0771227270.007381818Standard 075150.0047Standard Deviation0.0705770.0220855460.009340574Sample 4Countp value220.031292220.009792183220.004141378The p values are significant in case of expenses either financial or overall. However especially incase of financial expenses the firms seem to be incurring different costs on debt funds for reasonsdiscussed before.43

Pankaj K. Agarwal and S.K. Sinha5. EfficiencyOperating Expense/Loan Portfolio (%)Cost per borrowerMean0.111790909Standard Error0.014380357Median0.102313.85Standard Deviation0.06744985414.63631033Sample .4Sum2.4594368.3Countp 13.038316373.322561668226.489376432On these efficiency parameters we may see that p value is significant in case of operating expensesas a percentage of loan portfolios. This is mainly due to the fact that most of the companies arefollowing unique business models. However p is not significant in case of cost per borrower especiallydue to the fact that the size of loan per borrower differs widely in case of borrower to borrower indifferent companies. This is reflected in standard deviation also.7. ProductivityBorrowers per Staff memberMeanStandard Error259.227324.01063Median246.5Standard Deviation112.6199Sample eSavers per Staff 93Count2222p value49.93285Sum122.2245769As expected p value is highly insignificant in both these parameters of productivity. We mayobserve that this reflects similar managerial capability across different MFIs. The fuller utilizationof available manpower is not very apparent in most of the cases.44

Delhi Business Review X Vol. 11, No. 2 (July - December 2010)8. Risk ManagementPortfolio at Risk 30 daysRatio (%)Loan Loss ReserveRatio (%)Risk Coverage Write Off RatioRatio ndard edian0.00150.00660.87190Mode0000Standard Deviation0.048956460.010290525Sample 0288Sum0.45870.2169610.82010.0736Countp 113195The p value is significant in case of potential future bad debts, provision for bad debts and write-offratio. It appears that the firms are operating with differing levels of risk appetite. However in caseof institutionalized risk management procedures and covering the risk through various measuresthere exists lot of similarity between firms. This means that the risk avoidance is different but notloss prevention.ConclusionWe may conclude that most of the best performing firms are following different business models inIndia. This is reflected in 13 out of 22 parameters studied. However in other areas especially in riskcoverage, debt equity ratio, productivity, cost per borrower, operational self sufficiency etc there exist asimilarity between the firms performance. However the similitude in performance is not due to achance factor but a deliberate business model that emanates from group lending and rural focus ofMFIs operating in the Asian subcontinent.They seem to be following a time tested way of doing business which has sustained itself over the years.However the managerial capability as reflected in productivity parameters etc is different as it ispossible that management of different MFIs are at different stages of the learning curve.LimitationsThe study has been conducted on the 5-star rated performers of Mix-market database. This is possiblethat the similarities observed in various parameters emanates from their belonging to the elite groupof firms with strong ethics of disclosure. If the study is conducted with a broader sample (however thereis a dilemma here, if we want to include more firms here to broaden the database the data needed wouldnot be available since many firms are not disclosing their financial data) the results may be different.Also the data analyzed has been taken from 2008 statements to reflect the most up to date position.Again an average of past two to three years if taken might throw more insights to the study.45

Pankaj K. Agarwal and S.K. SinhaReferencesArsyad, Lincolin (2005), An Assessment of Microfinance Institution Performance: The Importance of InstitutionalEnvironment, Gadjah Mada International Journal of Business, September-December 2005, Vol. 7, No.3, pp.391-427.Chaves, R.A., and C. Gonzales-Vega (1996), The Design of Successful Rural Financial Intermediaries: Evidence fromIndonesia, World Development, Vol.24, No.1, pp.65-78.Crabb, Peter (2008), “Economic Freedom and Success of Microfinance Institutions”, Journal of DevelopmentalEntrepreneurship, Vol. 13, No. 2, pp.205-219.Dayson, Karl and Quach, Hao (2006), Toward a Performance Assessment of Microfinance Institutions in Europe, Financeand The Common Good, No. 25, Autumn 2006.Ledgerwood, J. (1999), Microfinance Handbook: An Institutional and Financial Perspective, Washington, DC: World Bank.Meyer, R.L. (2002), “Track Record of Financial Institutions in Assisting the Poor in Asia”, ADB Institute Research Paper,No. 49, December 2002.Morduch, J. (1999), The Microfinance Promise, Journal of Economic Literature, Vol. 37, No. 4, pp.1569-1614.Robinson, M.S. (2001), The Microfinance Revolution: Sustainable Finance for the Poor, Washington, D.C.: The WorldBank.Sen, Mitali (2008), “Assessing Social Performance of Microfinance Institutions in India”, The ICFAI Journal of AppliedFinance, Vol. 14, No. 86, pp.77-86.Srinivasan R. and Sriram, M.S. (2006), Microfinance in India: Discussion, IIMB Management Review, pp.66-86.World Bank (2000), World Development Report 2000/2001, Washington DC. The World Bank.www.mixmarket.orgYaron, Y. (1992), Successful Rural Finance Institutions, World Bank Discussion Papers, Washington, D.C.: The WorldBank.Yaron, Y. (1994), What Makes Rural Finance Institutions Successful?, The World Bank Research Observer, Vol. 9, No.1,pp.49-70.Yaron, Y., Mc.D. Benjamin, and G. Piprek (1997), Rural Finance: Issues, Design, and Best Practice, Environmentally andSocially Sustainable Development Studies and Monograph Series 14, Washington, D.C.: The World Bank.Yaron, Y., Mc. D.Benjamin, and S Charitonenko (1998), Promoting Efficient Rural Financial Intermediation, The WorldBank Research Observer, Vol. 13, No. 2, pp.147-170.Zeller, Manfred and Meyers, Richard (2003), The Triangle of Microfinance: Financial Sustainability, Outreach and impact,John Hopkins university Press, Baltimore.46

very late. Microfinance is often credited with putting an end to the interest rate debate for the poor. A host of players have entered microfinance space, each having a reason of its own. It is believed that, Microfinance, unlike other developmental efforts, gives quick and tangible results (Srinivasan et al., 2006).

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